We propose the Echo-Chamber Effect assessment of an online forum. Sentiments perceived by the forum readers are at the core of the analysis; a complete message is the unit of the study. We build 14 models and apply those to represent discussions gathered from an online medical forum. We use four multi-class sentiment classification applications and two Machine Learning algorithms to evaluate prowess of the assessment models.
@article{arxiv.2010.09574,
title = {Machine Learning Evaluation of the Echo-Chamber Effect in Medical Forums},
author = {Marina Sokolova and Victoria Bobicev},
journal= {arXiv preprint arXiv:2010.09574},
year = {2020}
}
Comments
17 pages, including Appendix; 6 figures in the main text; 5 tables in the main text and 7 tables in Appendix